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Their lesson, "Build Breadth-first (Data/Pipeline/Model) instead of Depth-first (AI model)" is insightful. Once the pipeline/etc. are built perhaps the AI part
by joshuaeckroth 9y ago
Their lesson, "Build Breadth-first (Data/Pipeline/Model) instead of Depth-first (AI model)" is insightful. Once the pipeline/etc. are built perhaps the AI part is not even needed any more. Finding this out early can save you a lot of trouble.
Another perspective, in which we talk about on integrating AI into existing workflows, among other lessons:
Smith, Reid G., and Joshua Eckroth. "Building AI Applications: Yesterday, Today, and Tomorrow." AI Magazine 38.1 (2017): 6-22.
https://www2.stetson.edu/~jeckroth/downloads/smith-eckroth-2017.pdf https://www2.stetson.edu/~jeckroth/downloads/smith-eckroth-2...
- gfdr 9y agoNot only that, but breadth-first makes it easy to: a) Iterate much faster on models; b) Keep better track of results and code and models, which is already quite difficult in ML; c) Enable other teams to work on other parts of the pipeline, in parallel.